TY - JOUR
T1 - A computational model of wind turbine blade erosion induced by raindrop impact
AU - Hu, W.
AU - Wang, X.
AU - Chen, W.
AU - Wang, Y.
AU - Liu, Z.
AU - Tan, J.
AU - Pryor, S. C.
AU - Barthelmie, R. J.
N1 - Funding Information:
This work is supported by the Fundamental Research Funds for the Central Universities (2019QNA4006) in China, the U.S. Department of Energy (DoE) (DE-SC0016438) and Cornell University’s Atkinson Center for a Sustainable Future (ACSF-sp2279-2018).
Publisher Copyright:
© 2020 IOP Publishing Ltd. All rights reserved.
PY - 2020/3/3
Y1 - 2020/3/3
N2 - This research focuses on developing a computational model for analysing wind turbine blade erosion induced by raindrop impact. A stochastic rain texture model is used to simulated realistic rain events determined by a rain intensity and a rain duration. A new smoothed particle hydrodynamic approach is implemented to study the influence of the raindrop size, impact speed, impact angle, and raindrop shape on the impact stress. In addition, a stress interpolation method is proposed to accurately and efficiently calculate the impact stress under a random rain event. The fatigue damage of the top coating material is evaluated under a rain event based on the rainflow cycle counting method and the Miner's rule.
AB - This research focuses on developing a computational model for analysing wind turbine blade erosion induced by raindrop impact. A stochastic rain texture model is used to simulated realistic rain events determined by a rain intensity and a rain duration. A new smoothed particle hydrodynamic approach is implemented to study the influence of the raindrop size, impact speed, impact angle, and raindrop shape on the impact stress. In addition, a stress interpolation method is proposed to accurately and efficiently calculate the impact stress under a random rain event. The fatigue damage of the top coating material is evaluated under a rain event based on the rainflow cycle counting method and the Miner's rule.
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U2 - 10.1088/1742-6596/1452/1/012048
DO - 10.1088/1742-6596/1452/1/012048
M3 - Conference Article
AN - SCOPUS:85081548230
SN - 1742-6588
VL - 1452
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012048
T2 - North American Wind Energy Academy, NAWEA 2019 and the International Conference on Future Technologies in Wind Energy 2019, WindTech 2019
Y2 - 14 October 2019 through 16 October 2019
ER -